Abstract
Although major progress has been made in uncovering the machinery that underlies individual biological clocks, much less is known about how multiple clocks coordinate their oscillations. We simultaneously tracked cell division events and circadian phases of individual cells of the cyanobacterium Synechococcus elongatus and fit the data to a model to determine when cell cycle progression slows as a function of circadian and cell cycle phases. We infer that cell cycle progression in cyanobacteria slows during a specific circadian interval but is uniform across cell cycle phases. Our model is applicable to the quantification of the coupling between biological oscillators in other organisms.
Publication types
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Research Support, N.I.H., Extramural
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Bacterial Proteins / genetics
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Bacterial Proteins / metabolism
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Biological Clocks*
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Cell Cycle*
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Circadian Rhythm Signaling Peptides and Proteins / genetics
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Circadian Rhythm Signaling Peptides and Proteins / metabolism
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Circadian Rhythm*
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Computer Simulation
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Light
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Luminescent Proteins / metabolism
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Microscopy, Fluorescence
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Models, Biological
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Monte Carlo Method
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Synechococcus / cytology*
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Synechococcus / genetics
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Synechococcus / metabolism
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Synechococcus / physiology*
Substances
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Bacterial Proteins
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Circadian Rhythm Signaling Peptides and Proteins
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KaiA protein, cyanobacteria
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KaiB protein, cyanobacteria
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KaiC protein, cyanobacteria
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Luminescent Proteins
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yellow fluorescent protein, Bacteria